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Compare GPU and LLM inference API pricing between RunPod and TensorWave. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | RunPod Price | TensorWave Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • RunPod | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • RunPod | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A2 16GB VRAM • RunPod | Not Available | — | ||
A2 16GB VRAM • | ||||
B200 192GB VRAM • RunPod | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 NVL 94GB VRAM • RunPod | Not Available | — | ||
H100 NVL 94GB VRAM • | ||||
H100 PCIe 80GB VRAM • RunPod | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • RunPod | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • RunPod | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • RunPod | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L40 40GB VRAM • RunPod | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • RunPod | Not Available | — | ||
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • TensorWave | Not Available | — | ||
MI300X 192GB VRAM • | ||||
MI325X 256GB VRAM • TensorWave | Not Available | — | ||
MI325X 256GB VRAM • | ||||
MI355X 288GB VRAM • TensorWave | Not Available | — | ||
MI355X 288GB VRAM • | ||||
RTX 3070 8GB VRAM • RunPod | 2x GPU | Not Available | — | |
RTX 3070 8GB VRAM • | ||||
A100 PCIE 40GB VRAM • RunPod | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • RunPod | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A2 16GB VRAM • RunPod | Not Available | — | ||
A2 16GB VRAM • | ||||
B200 192GB VRAM • RunPod | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 NVL 94GB VRAM • RunPod | Not Available | — | ||
H100 NVL 94GB VRAM • | ||||
H100 PCIe 80GB VRAM • RunPod | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • RunPod | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • RunPod | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • RunPod | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L40 40GB VRAM • RunPod | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • RunPod | Not Available | — | ||
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • TensorWave | Not Available | — | ||
MI300X 192GB VRAM • | ||||
MI325X 256GB VRAM • TensorWave | Not Available | — | ||
MI325X 256GB VRAM • | ||||
MI355X 288GB VRAM • TensorWave | Not Available | — | ||
MI355X 288GB VRAM • | ||||
RTX 3070 8GB VRAM • RunPod | 2x GPU | Not Available | — | |
RTX 3070 8GB VRAM • | ||||
Explore how these providers compare to other popular GPU cloud services
Compare RunPod with another leading provider
Compare RunPod with another leading provider
Compare RunPod with another leading provider
Compare RunPod with another leading provider
Compare RunPod with another leading provider
Compare RunPod with another leading provider
Access to a wide range of GPU types with enterprise-grade security
Only pay for the compute time you actually use
Programmatically manage your GPU instances via REST API
Pods typically ready in 20-30 s
SSH & VS Code tunnels built-in
Automatic migration on pre-empt
Powered by AMD Instinct™ Series GPUs including MI355X, MI325X, and MI300X for high-performance AI workloads.
Offers instances with up to 288GB of HBM3e VRAM per GPU, ideal for large models and memory-intensive workloads.
Provides both bare metal servers for maximum control and managed Kubernetes/Slurm clusters for orchestration.
Utilizes direct liquid cooling delivering up to 51% data center energy cost savings and improved efficiency.
Complete architecture that optimizes next-generation Ethernet for AI and HPC networking with high-speed storage.
SOC2 Type II certified and HIPAA compliant infrastructure for secure AI workloads.
On‑demand single‑node GPU instances with flexible templates and storage.
Spin up multi‑node GPU clusters in minutes with auto networking.
Bare metal servers and managed Kubernetes clusters with AMD Instinct GPUs.
Kubernetes clusters for orchestrated AI workloads.
An enterprise inference platform designed for larger context windows and reduced latency.
Guaranteed availability with full root access and transparent hourly pricing for MI355X, MI325X, and MI300X GPUs
Custom pricing for multi-node clusters with tailored networking configurations
Custom pricing for high-performance storage powered by Weka file system
Predictable costs without tokenized pricing models or hidden fees
Reduced costs for long-term contracts and high-volume usage commitments
Sign up for RunPod using your email or GitHub account
Add a credit card or cryptocurrency payment method
Select a template and GPU type to launch your first instance
Sign up on the TensorWave website to get access to their platform.
Select between Bare Metal servers or a managed Kubernetes cluster.
Utilize the documentation and quick-start guides for PyTorch, Docker, Kubernetes, and other tools.
Deploy your AI model for training, fine-tuning, or inference.
Primary data center and headquarters are located in Las Vegas, Nevada. The company is building the largest AMD-specific AI training cluster in North America.
Offers 'white-glove' onboarding and 24/7 dedicated AI/ML solutions engineers, extensive documentation with quickstart guides, and enterprise-grade support.